[report]
/ Cancer Facts and Figures
/ American Cancer Society
[journal]
Mettlin C
/ 1995
/ American society nationalcancer detectionproject
/ Cancer
75
: 1790~1794
[web]
/ http://www.cancer.org/Research/CancerFacts Figures/CancerFactsFigures/cancer-facts-figu res-2011
/ http://www.cancer.org/Research/CancerFactsFigures/CancerFactsFigures/cancer-facts-figures-2011
[journal]
A. Chakraborty
/ 1996
/ Deformable Boundary Finding in MedicalImages by Integrating Gradient and Region Information
/ IEEE Trans. Med. Imag
15
(6)
: 859~870
[journal]
P. D. Grimm
/ 1994
/ US GuidedTransperinealImplantationofIodine125 andPalladium 103fortheTreatmentofEarly Stage Prostate Cancer
/ AtlasUrol. Clin. No. Amer
2
: 113~125
[journal]
Y.Zhan
/ Deformable Segmentation of 3-D US Prostate Images Using Statistical Texture Matching Method
/ Trans. on Med.Imag.
256
: 245~255
[journal]
A. Rafiee
/ 2008
/ A Novel Prostate Segmentation Algorithm in TRUS Images
/ World Academy ofScience,Eng.and Tech
45
: 120~124
[journal]
S. D. Pathak
/ 2009
/ Edge-guided Boundary Delineation in ProstateUSImages
/ IEEE Trans. Med. Imag
19
(12)
: 1211~1221
[journal]
D. Shen
/ 2003
/ Segmentation Prostate Boundaries fromUltrasound Images Using Statistical ShapeModel
/ IEEETrans. Med. Imag
22
(4)
: 539~551
[confproc]
F. Shao
/ 2003
/ 3-D Prostate Surface Detection from Ultrasound Imagesbasedon LevelSetMethod
/ in Proc. MICCAI2003
: 389~396
[journal]
P. Yan
/ 2011
/ AdaptivelyLearningLocalShapeStatisticsforProstate Segmentation in Ultrasound
/ IEEETrans. On Bio. Eng
58
(3)
: 633~641
[confproc]
H. Akbari
/ 2011
/ 3D Segmentation of Prostate US Images Using WaveletTransform
/ Proc. ofSPIE
[confproc]
B. E. Boser
/ 1992
/ A Training Algorithm for Optimal Margin Classifiers
/ In D.Haussler,5th AnnualACM WorkshoponCOLT
: 144~152
[book]
J. Suri
/ 2007
/ DeformableModels2
/ Springer
: 75~94
[journal]
A. Ghanei
/ 2001
/ A 3D Deformable ModelforSegmentation ofHumanProstatefrom UltrasoundImage
/ Med.Phys.
28
: 2147~2153